Uschi Braun

836 citations
8 papers · 660 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Complement system in diseases 2
    • Immune Response and Inflammation 1
    • Metabolism, Diabetes, and Cancer 2

Uschi Braun

8 papers receiving 653 citations

Peers

Uschi Braun
Comparison fields: 5 of 65
  • Immunology 251
  • Cancer Research 143
  • Molecular Biology 361
  • Oncology 110
  • Immunology and Allergy 23
Replace Zhi Dai with:
Zhi Dai China
Mai Miura Japan
Huy Q. Ta United States
Marie Dance France
Olivier Calvayrac France
Ali Sadra South Korea
Ross S. Thomas Australia
Kanta Miyoshi Japan
Xiaoyu Jiang United States
Jian‐Yang Ao China
Uschi Braun relative to Zhi Dai China Zhi Dai's profile →
Citations per field
00.5×1.5×
Zhi Dai · 1×
Citations per year

Countries citing papers authored by Uschi Braun

Since Specialization
Citations

This map shows the geographic impact of Uschi Braun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uschi Braun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uschi Braun more than expected).

Fields of papers citing papers by Uschi Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uschi Braun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uschi Braun. The network helps show where Uschi Braun may publish in the future.

Co-authors

The 25 scholars most cited alongside Uschi Braun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uschi Braun Line = papers co-authored together Uschi Braun links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2001318
2 200280
3 200776
4 200675
5 200049
6 200342
7 200819
8 19971

About Uschi Braun

Uschi Braun is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 8 papers that have together received 660 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Pancreatic function and diabetes (2 papers), Complement system in diseases (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (251 citations), Cancer Research (143 citations), Molecular Biology (361 citations), Oncology (110 citations) and Immunology and Allergy (23 citations). Uschi Braun has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Michael Leitges, Juan F. Garcı́a, Laura Sanz, Paul D. Rennert, Roberta Pelanda, Pilar Martı́n, Jorge Moscat, María T. Diaz‐Meco, Ángeles Durán and Elias Hobeika. Their work appears in journals such as The Journal of Immunology, Molecular Endocrinology, Molecular and Cellular Neuroscience, Proceedings of the National Academy of Sciences and Molecular Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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